{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 计算机视觉\n",
    "\n",
    "* 学习并完成所有Azure computer version 的API调用\n",
    "> * 分析远程图像    \n",
    "> * 分析本地图片    \n",
    "> * 生成缩略图    \n",
    "> * 提取印刷体文本和手写文本    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析远程图像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"categories\": [{\"name\": \"people_\", \"score\": 0.9140625, \"detail\": {\"celebrities\": []}}], \"color\": {\"dominantColorForeground\": \"Black\", \"dominantColorBackground\": \"Black\", \"dominantColors\": [\"Black\"], \"accentColor\": \"705B5F\", \"isBwImg\": false, \"isBWImg\": false}, \"description\": {\"tags\": [\"person\", \"clothing\", \"man\", \"wearing\", \"suit\", \"photo\", \"holding\", \"standing\", \"woman\", \"young\", \"phone\"], \"captions\": [{\"text\": \"a man wearing a suit and tie\", \"confidence\": 0.9173783671809552}]}, \"requestId\": \"1266467d-eb7e-446e-a60b-499c965fe3e0\", \"metadata\": {\"height\": 1620, \"width\": 1080, \"format\": \"Jpeg\"}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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0+xrVh3TmoNCw1gYSfjodI8o0zdmeX/H0yQpBEFIfHx+P6W8URaxWq/9TROy6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\n5Rf/3x/jyXe/nB/4nn/Mz/2n3+DrvvX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rLY0n0I0GFKduPIFKLJGJqZYl119/PWfPnm2b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\nvvu7bme20/C3fvIVNEwR42jnuzRNQFgNQ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      "text/plain": [
       "<matplotlib.figure.Figure at 0x22545193a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "# if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "#     subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "# else:\n",
    "#     print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "#     sys.exit()\n",
    "\n",
    "endpoint = \"https://h2j.cognitiveservices.azure.com/\"\n",
    "# if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "#     endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "subscription_key = \"3f9aedaa32894b9b9798447e741c4d23\"\n",
    "\n",
    "# base url\n",
    "analyze_url = endpoint+ \"vision/v2.1/analyze\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to analyze.\n",
    "image_url = \"https://gitee.com/huang_jun_hao/wx923/raw/master/lin1.jpg\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': subscription_key}\n",
    "# 参数\n",
    "params = {'visualFeatures': 'Categories,Description,Color'}\n",
    "# 请求主体body\n",
    "data = {'url': image_url}\n",
    "response = requests.post(analyze_url, headers=headers,\n",
    "                         params=params, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# The 'analysis' object contains various fields that describe the image. The most\n",
    "# relevant caption for the image is obtained from the 'description' property.\n",
    "analysis = response.json()\n",
    "print(json.dumps(response.json()))\n",
    "image_caption = analysis[\"description\"][\"captions\"][0][\"text\"].capitalize()\n",
    "\n",
    "# Display the image and overlay it with the caption.\n",
    "image = Image.open(BytesIO(requests.get(image_url).content))\n",
    "plt.imshow(image)\n",
    "plt.axis(\"off\")\n",
    "_ = plt.title(image_caption, size=\"x-large\", y=-0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析本地图片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'categories': [{'name': 'others_', 'score': 0.00390625}, {'name': 'people_', 'score': 0.31640625, 'detail': {'celebrities': []}}], 'color': {'dominantColorForeground': 'Grey', 'dominantColorBackground': 'Grey', 'dominantColors': ['Grey', 'White'], 'accentColor': '2B4C79', 'isBwImg': False, 'isBWImg': False}, 'description': {'tags': ['person', 'indoor', 'table', 'woman', 'sitting', 'girl', 'food', 'cake', 'plate', 'young', 'kitchen', 'laptop', 'smiling', 'holding', 'computer', 'little', 'standing', 'orange', 'pizza', 'counter', 'birthday', 'large', 'dog', 'cutting', 'room'], 'captions': [{'text': 'a woman smiling for the camera', 'confidence': 0.930567306786839}]}, 'requestId': '10d95281-b531-4bc6-b6ac-24a4151202c4', 'metadata': {'height': 959, 'width': 959, 'format': 'Jpeg'}}\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "# if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "#     subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "# else:\n",
    "#     print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "#     sys.exit()\n",
    "\n",
    "# if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "#     endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "\n",
    "# analyze_url = endpoint + \"vision/v2.1/analyze\"\n",
    "\n",
    "# Set image_path to the local path of an image that you want to analyze.\n",
    "image_path = \"F:\\mid\\mei.jpg\"\n",
    "# Read the image into a byte array\n",
    "image_data = open(image_path, \"rb\").read()\n",
    "headers = {'Ocp-Apim-Subscription-Key': \"3f9aedaa32894b9b9798447e741c4d23\",\n",
    "           'Content-Type': 'application/octet-stream'}\n",
    "params = {'visualFeatures': 'Categories,Description,Color'}\n",
    "response = requests.post(\n",
    "    analyze_url, headers=headers, params=params, data=image_data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# The 'analysis' object contains various fields that describe the image. The most\n",
    "# relevant caption for the image is obtained from the 'description' property.\n",
    "analysis = response.json()\n",
    "print(analysis)\n",
    "image_caption = analysis[\"description\"][\"captions\"][0][\"text\"].capitalize()\n",
    "\n",
    "# Display the image and overlay it with the caption.\n",
    "image = Image.open(BytesIO(image_data))\n",
    "plt.imshow(image)\n",
    "plt.axis(\"off\")\n",
    "_ = plt.title(image_caption, size=\"x-large\", y=-0.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 生成缩略图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thumbnail is 100-by-100\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "# if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "#     subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "# else:\n",
    "#     print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "#     sys.exit()\n",
    "\n",
    "# if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "#     endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "\n",
    "thumbnail_url = \"https://h2j.cognitiveservices.azure.com/\" + \"vision/v2.1/generateThumbnail\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to analyze.\n",
    "image_url = \"https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1603549480475&di=319f7078021d1b39f637ce4aa79a4b64&imgtype=0&src=http%3A%2F%2Fb-ssl.duitang.com%2Fuploads%2Fitem%2F201803%2F24%2F20180324133604_fhlsx.thumb.700_0.png\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': \"dd748cf10bf9404399e5416d9399e218\"}\n",
    "params = {'width': '100', 'height': '100', 'smartCropping': 'true'}\n",
    "data = {'url': image_url}\n",
    "response = requests.post(thumbnail_url, headers=headers,\n",
    "                         params=params, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "thumbnail = Image.open(BytesIO(response.content))\n",
    "\n",
    "# Display the thumbnail.\n",
    "plt.imshow(thumbnail)\n",
    "plt.axis(\"off\")\n",
    "\n",
    "# Verify the thumbnail size.\n",
    "print(\"Thumbnail is {0}-by-{1}\".format(*thumbnail.size))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 提取印刷体文本和手写文本 \n",
    "* 假如我们抓取了1000张网页，出了文本信息我们分析以外，还有每个页面的图片的信息，我们可以用提取图片文本的方式，将图片的信息也抓取下来\n",
    "* 我们进抓取了图片，想知道这些图片的内容是什么，也可以用提取文本的方式进行提取\n",
    "* ...."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "    \"status\": \"running\",\n",
      "    \"createdDateTime\": \"2020-10-24T11:41:49Z\",\n",
      "    \"lastUpdatedDateTime\": \"2020-10-24T11:41:49Z\"\n",
      "}\n",
      "{\n",
      "    \"status\": \"succeeded\",\n",
      "    \"createdDateTime\": \"2020-10-24T11:41:49Z\",\n",
      "    \"lastUpdatedDateTime\": \"2020-10-24T11:41:50Z\",\n",
      "    \"analyzeResult\": {\n",
      "        \"version\": \"3.0.0\",\n",
      "        \"readResults\": [\n",
      "            {\n",
      "                \"page\": 1,\n",
      "                \"angle\": 0.7639,\n",
      "                \"width\": 753,\n",
      "                \"height\": 1079,\n",
      "                \"unit\": \"pixel\",\n",
      "                \"lines\": [\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            670,\n",
      "                            1050,\n",
      "                            745,\n",
      "                            1051,\n",
      "                            745,\n",
      "                            1071,\n",
      "                            670,\n",
      "                            1070\n",
      "                        ],\n",
      "                        \"text\": \"@n Fer\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    670,\n",
      "                                    1050,\n",
      "                                    699,\n",
      "                                    1051,\n",
      "                                    699,\n",
      "                                    1071,\n",
      "                                    670,\n",
      "                                    1070\n",
      "                                ],\n",
      "                                \"text\": \"@n\",\n",
      "                                \"confidence\": 0.638\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    703,\n",
      "                                    1051,\n",
      "                                    746,\n",
      "                                    1052,\n",
      "                                    745,\n",
      "                                    1072,\n",
      "                                    702,\n",
      "                                    1071\n",
      "                                ],\n",
      "                                \"text\": \"Fer\",\n",
      "                                \"confidence\": 0.565\n",
      "                            }\n",
      "                        ]\n",
      "                    }\n",
      "                ]\n",
      "            }\n",
      "        ]\n",
      "    }\n",
      "}\n"
     ]
    },
    {
     "data": {
      "image/png": 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LL2PS0a5V3E6sXpKg8UIfD0esBUYLLq5uMNtsUA4kUjbxkojQt3z/3/obLKghv//Vb/LS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sJ2pa5s2m31Tbv6CPryBd9f0k4/MlTk2uunkWGZK8wK9aLAKkFY9DHRGoVSgbHxYRqrWw4ksFhC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      "text/plain": [
       "<matplotlib.figure.Figure at 0x225462074e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import json\n",
    "import os\n",
    "import sys\n",
    "import requests\n",
    "import time\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Polygon\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "text_recognition_url = endpoint + \"/vision/v3.0/read/analyze\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to recognize.\n",
    "image_url = \"https://gitee.com/huang_jun_hao/wx923/raw/master/wan.jpg\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': \"dd748cf10bf9404399e5416d9399e218\"}\n",
    "data = {'url': image_url}\n",
    "response = requests.post(text_recognition_url, headers=headers, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# Extracting text requires two API calls: One call to submit the\n",
    "# image for processing, the other to retrieve the text found in the image.\n",
    "\n",
    "# Holds the URI used to retrieve the recognized text.\n",
    "operation_url = response.headers[\"Operation-Location\"]\n",
    "\n",
    "# The recognized text isn't immediately available, so poll to wait for completion.\n",
    "analysis = {}\n",
    "poll = True\n",
    "while (poll):\n",
    "    response_final = requests.get(\n",
    "        response.headers[\"Operation-Location\"], headers=headers)\n",
    "    analysis = response_final.json()\n",
    "    \n",
    "    print(json.dumps(analysis, indent=4))\n",
    "\n",
    "    time.sleep(1)\n",
    "    if (\"analyzeResult\" in analysis):\n",
    "        poll = False\n",
    "    if (\"status\" in analysis and analysis['status'] == 'failed'):\n",
    "        poll = False\n",
    "\n",
    "polygons = []\n",
    "if (\"analyzeResult\" in analysis):\n",
    "    # Extract the recognized text, with bounding boxes.\n",
    "    polygons = [(line[\"boundingBox\"], line[\"text\"])\n",
    "                for line in analysis[\"analyzeResult\"][\"readResults\"][0][\"lines\"]]\n",
    "\n",
    "# Display the image and overlay it with the extracted text.\n",
    "image = Image.open(BytesIO(requests.get(image_url).content))\n",
    "ax = plt.imshow(image)\n",
    "for polygon in polygons:\n",
    "    vertices = [(polygon[0][i], polygon[0][i+1])\n",
    "                for i in range(0, len(polygon[0]), 2)]\n",
    "    text = polygon[1]\n",
    "    patch = Polygon(vertices, closed=True, fill=False, linewidth=2, color='y')\n",
    "    ax.axes.add_patch(patch)\n",
    "    plt.text(vertices[0][0], vertices[0][1], text, fontsize=20, va=\"top\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 学习人脸识别和计算机视觉心得体会\n",
    "\n",
    "> 历程艰辛！    \n",
    "> 不会放弃！    \n",
    "> 终得成果！    \n",
    "> 分享经验吧～"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "243px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
